Data analytics are quickly transforming law, challenging its survival as a vibrant profession for natural persons. I argue that data analytics will continue to penetrate law, even in domains heretofore dominated by human decision-makers. I demonstrate this claim by describing how machine-learning
techniques can be used to identify important fiduciary waivers. Notwithstanding their transformative power, however, I remain doubtful that data analytics will substantially displace law. The most powerful approaches in data analytics as applied to law require human practitioner inputs to
train, calibrate, and supervise machine classifiers. Moreover, law's normative/prescriptive commitments are irreducibly dynamic and complex – traits poorly matched to algorithmic prediction.

This article was made available online on 18 January 2018 as a Fast Track article with title: "Is the Future of Law a Driverless Car?: Assessing How the Data-Analytics Revolution will Transform Legal Practice".

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Founded as Zeitschrift für die gesamte Staatswissenschaft in 1844.

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